TL;DR

Software Engineer (Machine Learning): Building and maintaining backend services and data pipelines to enable ML models and automations to run reliably at scale with an accent on designing robust systems to automate business processes and making them available through APIs. Focus on translating complex business and analytical needs into technical solutions and owning services end-to-end from architecture to monitoring.

Location: Must be based in Madrid or Barcelona (Home office friendly)

Company

%hirify_global% is the world’s leading tech platform for culture and live entertainment, aiming to democratize access to experiences with cutting-edge technology and a data-driven approach.

What you will do

Build and maintain backend services and data pipelines that enable ML models and automations to run reliably at scale.
Design robust systems to automate business processes and make them available through APIs or event-based architectures.
Translate complex business and analytical needs into technical solutions for CRM, Marketing, Product, and Data Science teams.
Own your services end-to-end, from architecture to deployment and monitoring, applying strong engineering discipline.
Collaborate closely with Data Science, Machine Learning, and Data Engineering to ensure smooth integration of data sources and model infrastructure.

Requirements

Strong backend engineering foundations and a passion for writing high-quality Python code.
Solid understanding of OOP, software architecture patterns (clean architecture, hexagonal), and design principles.
Experience working with relational databases and SQL (PostgreSQL, Snowflake, or similar).
Familiarity with containerization and deployment workflows (Docker, Kubernetes).
English: Comfortable communicating in a cross-functional technical environment.
Pragmatic mindset, balancing technical quality with business impact and speed of delivery.

Nice to have

Familiarity with APIs from major marketing or CRM platforms (Meta, Google, Salesforce Marketing Cloud).
Frontend knowledge (React, Vue, or any modern framework).
Experience with AWS services (S3, EC2, RDS) or similar cloud environments.
Exposure to orchestration tools like Airflow or similar schedulers.
Experience building data or ML-powered internal services or automation platforms.

Culture & Benefits

Responsibility from day one and professional and personal growth.
Opportunity to have a real impact in a high-growth global category leader.
A compensation package consisting of base salary and potential for a significant bonus for top performance.
Stock options plan.
40% discount on all %hirify_global% events and experiences.
Health insurance and other benefits such as flexible remuneration through Cobee.
English / Spanish Lessons.
Wellhub Membership and possibility to receive in advance part of your salary by Payflow.